Apache Livy is an open source REST interface for interacting with Apache Spark from anywhere. It supports executing snippets of code or programs in a Spark context that runs locally or in Apache Hadoop YARN. Starting from the job done by (Aliaksandr Sasnouskikh) Apache Livy can schedule Spark application on kubernetes.
- Interactive Scala, Python and R shells
- Batch submissions in Scala, Java, Python
- Multiple users can share the same server (impersonation support)
- Can be used for submitting jobs from anywhere with REST
- Does not require any code change to your programs
- Possibility to expose SparkUI with Istio Virtual Service
- Load Apache sedona UDF/UDT in Apache Spark context
Pull requests are welcomed! But before you begin, please check out the Contributing section on the Community page of our website.
Guides and documentation on getting started using Livy, example code snippets, and Livy API documentation can be found at livy.incubator.apache.org.
To build Livy, you will need:
Debian/Ubuntu:
- mvn (from
mavenpackage or maven3 tarball) - openjdk-8-jdk (or Oracle JDK 8)
- Python 2.7+
- R 3.x
Redhat/CentOS:
- mvn (from
mavenpackage or maven3 tarball) - java-1.8.0-openjdk (or Oracle JDK 8)
- Python 2.7+
- R 3.x
MacOS:
- Xcode command line tools
- Oracle's JDK 1.11
- Maven (Homebrew)
- Python 2.7+
- R 3.x
Required python packages for building Livy:
- cloudpickle
- requests
- requests-kerberos
- flake8
- flaky
- pytest
To run Livy, you will also need a Spark installation. You can get Spark releases at https://spark.apache.org/downloads.html.
Livy requires Spark 2.4+. You can switch to a different version of Spark by setting the
SPARK_HOME environment variable in the Livy server process, without needing to rebuild Livy.
Livy is built using Apache Maven. To check out and build Livy, run:
git clone https://github.com/apache/incubator-livy.git
cd incubator-livy
mvn package
By default Livy is built against Apache Spark 3.1.1, but the version of Spark used when running Livy does not need to match the version used to build Livy. Livy internally handles the differences between different Spark versions.
The Livy package itself does not contain a Spark distribution. It will work with any supported version of Spark without needing to rebuild.
Import project in Idea likes scala projects and continue to import until all compile.
start org.apache.livy.server.LivyServer with below customized parameters
-Dlog4j.configuration=file:///Users/fbalicchia/lab/incubator-livy/conf/log4j.properties
SPARK_HOME=/Users/fbalicchia/tools/spark-3.0.1-bin-hadoop2.7;LIVY_HOME=/Users/fbalicchia/lab/incubator-livy;LIVY_SPARK_KUBERNETES_CONTAINER_IMAGE=sasnouskikh/livy-spark:0.8.0-incubating-spark_3.0.1_2.12-hadoop_3.2.0_cloud